DOI: https://doi.org/10.14710/jpki.18.2.73-78

Sleep Quality and Screen Time as The Most Influential Factor of Computer Vision Syndrome

Farhana Dhafira  -  Department of Medicine, Faculty of Medicine, Universitas Diponegoro, Indonesia
Riski Prihatningtias orcid  -  Ophthalmology Department, Faculty of Medicine, Universitas Diponegoro, Indonesia
Trilaksana Nugroho orcid  -  Ophthalmology Department, Faculty of Medicine, Universitas Diponegoro, Indonesia
*Maharani Maharani orcid  -  Ophthalmology Department, Faculty of Medicine, Universitas Diponegoro, Indonesia
Open Access Copyright (c) 2023 Jurnal Promosi Kesehatan Indonesia under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Abstract

Background: Since the Covid-19 Pandemic hit Indonesia, college students have had many eye health complaints; one is Computer Vision Syndrome (CVS). Factors that can increase the risk of CVS are decreased sleep quality, high computer/laptop use duration, and a non-ergonomic position. This study aimed to prove the relationship between sleep quality, visibility, and screen time on the incidence of CVS in medical students of Diponegoro University.

Method: This cross-sectional study, including 147 medical students was conducted using primary data from questionnaires of Wendy Strouse Watt, Thomas H Murphy, Hospitality Eye Care Center, and vsp.com to gain data on respondent identity, visibility, and screen time. Sleep quality data were taken from the PSQI and CVS data through the CVS-Q questionnaire. Chi-square, Mann-Whittney, and logistic regression of multivariate analysis were used to analyze the data.

Results: From 147 subjects, 108 were CVS (73.5%), and 39 were Non-CVS (26.5%). Variables of sleep quality and screen time (total) showed a significant relationship with CVS, which had p-values of p=0.001 and p=0.009 (p<0.05). As for the visibility to CVS, there was no relationship with p=0.863. In the multivariate test, sleep quality (p=0.000; ExpB=4.342) and total screen time (p=0.006; ExpB=3.913) were the most influential variables. The results showed that Computer Vision Syndrome is ubiquitous among Diponegoro University's final-year medical students. Sleep quality and total screen time can increase the risk of CVS by four times. This study also shows that CVS still appears in the post-pandemic era.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Materials
Ethical Clearance
Subject
Type Research Materials
  Download (666KB)    Indexing metadata
 Research Instrument
Informed Consent and Questionnaire
Subject
Type Research Instrument
  Download (88KB)    Indexing metadata
Keywords: sleep quality;visibility;screen time;computer vision syndrome

Article Metrics:

Article Info
Section: Research Article
Language : EN
Recent articles
Correlation of Hemoglobin Levels with Nutritional Status in Adolescent Girls: A Health Promotion Perspective Factors Causing Maternal Death due to COVID-19 in Several Countries: A Literature Review The Effect of Social Support on Stress Levels of Health Workers During The COVID-19 Pandemic: A Literature Review More recent articles
Most cited articles
Hubungan Radiasi Gelombang Elektromagnetik Dan Faktor Lain Dengan Keluhan Subyektif Pada Tenaga Kerja Industri Eletronik GE di Yogyakarta Praktik Perawatan Organ Genitalia Eksternal pada Anak Usia 10-11 Tahun yang Mengalami Menarche Dini di Sekolah Dasar Kota Semarang Perbedaan Efektifitas Metode Demonstrasi Dengan Pemutaran Video Tentang Pemberantasan DBD Terhadap Peningkatan Pengetahuan Dan Sikap Anak SD Di Kecamatan Wedarijaksa Kabupaten Pati Personal Dan Sosial Yang Mempengaruhi Sikap Remaja Terhadap Hubungan Seks Pranikah Socio-Cultural And Socio-Sexual Factors Influence The Premarital Sexual Behaviour of Javanese Youth In The Era of HIV/AIDS More cited articles
  1. Sadikin A, Hamidah A. Pembelajaran Daring di Tengah Wabah Covid-19. Biodik. 2020;6(2):214–24
  2. Arisandi IP, Utami GT, Novayelinda R. Efektivitas Senam Mata Terhadap Computer Vision Syndrome (CVS). JOM FKp. 2018;5(2):520–6
  3. Munshi S, Varghese A, Dhar-Munshi S. Computer vision syndrome—A common cause of unexplained visual symptoms in the modern era. Int J Clin Pract. 2017;71(7):1–5
  4. Iqbal M, El-Massry A, Elagouz M, Elzembely H. Computer Vision Syndrome Survey among the Medical Students in Sohag University Hospital, Egypt. Ophthalmol Res An Int J. 2018;8(1):1–8
  5. Insani Y, N N wunaini. Hubungan Jarak Mata dan Intensitas Pencahayaan terhadap. J Manaj Kesehat Yayasan RS Dr Soetomo. 2018;40(2):153–62
  6. Patil A, Bhavya, Chaudhury S, Srivastava S. Eyeing computer vision syndrome: Awareness, knowledge, and its impact on sleep quality among medical students. Ind Psychiatry J. 2019;28(1):68–74
  7. Basnet A, Basnet P, Karki P, Shrestha S. Computer Vision Syndrome Prevalence and Associated Factors Among the Medical Student in Kist Medical College. Nepal Med J. 2018;1(1):29–31
  8. American Optometric Association A. Computer Vision Syndrome [Internet]. Available from: https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/computer-vision-syndrome?sso=y
  9. Ganie MA, Himayani R, Kurniawan B. Hubungan Jarak dan Durasi Pemakaian Smartphone dengan Keluhan Kelelahan Mata pada Mahasiswa Fakultas Kedokteran Universitas Lampung. Med J Lampung Univ. 2018;8(1):136–40
  10. Zhao ZC, Zhou Y, Tan G, Li J. Research progress about the effect and prevention of blue light on eyes. Int J Ophthalmol. 2018;11(12):1999–2003
  11. Dwajani S, Lavanya R, Abhishek Ram S, Praveena A. Effect of Increased Screen Time in Undergraduate Students During Covid-19 Pandemic-A Survey-Based Study. Int J Recent Sci Res. 2020;11(12(B)):40252–8
  12. El Hangouche AJ, Jniene A, Aboudrar S, Errguig L, Rkain H, Cherti M, et al. Relationship between poor quality sleep, excessive daytime sleepiness and low academic performance in medical students. Adv Med Educ Pract. 2018;9:631–8
  13. Maheshwari G, Shaukat F. Impact of Poor Sleep Quality on the Academic Performance of Medical Students. Cureus. 2019;11(4):3–8
  14. Lima D von G, Kluthcovsky ACGCK, Fernandes LGR, Okarenski G. Quality of sleep and use of computers and cellphones among university students. Rev Assoc Med Bras. 2021;67(4):487
  15. Gabel V, Reichert CF, Maire M, Schmidt C, Schlangen LJM, Kolodyazhniy V, et al. Differential impact in young and older individuals of blue-enriched white light on circadian physiology and alertness during sustained wakefulness. Sci Rep. 2017;7(1):1–13
  16. Pratiwi AD, Safitri A, Lisnawaty J. Faktor Yang Berhubungan Dengan Kejadian Computer Vision Syndrome (CVS) Pada Pegawai Pt . Media Kita Sejahtera Kendari. J Kesehat Masy. 2020;7(1):41–7
  17. Akowuah PK, Nti AN, Ankamah-Lomotey S, Frimpong AA, Fummey J, Boadi P, et al. Digital Device Use, Computer Vision Syndrome, and Sleep Quality among an African Undergraduate Population. Adv Public Heal. 2021
  18. Abudawood GA, Ashi HM, Almarzouki NK. Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia. J Ophthalmol. 2020:7
  19. Perrault AA, Bayer L, Peuvrier M, Afyouni A, Ghisletta P, Brockmann C, et al. Reducing the use of screen electronic devices in the evening is associated with improved sleep and daytime vigilance in adolescents. Sleep Res Soc. 2019;42(9):1–10
  20. Green A, Cohen-Zion M, Haim A, Dagan Y. Evening light exposure to computer screens disrupts human sleep, biological rhythms, and attention abilities. Chronobiol Int. 2017;34(7):855–65
  21. Neophytou E, Manwell LA, Eikelboom R. Effects of Excessive Screen Time on Neurodevelopment, Learning, Memory, Mental Health, and Neurodegeneration : a Scoping Review Content courtesy of Springer Nature, terms of use apply. Rights reserved. Int J Ment Health Addict. 2021;19:724–44
  22. Nayak R, Sharma K, Mishra K, Bhattrai S, Sah K, Sanyam D. Smartphone induced eye strain in young and healthy individuals. J Kathmandu Med Coll. 2020;9(4):201–6
  23. Medelin F, Saluy PM. The Relationship of Screen Time and Asthenopia Among Computer Science Students Universitas Klabat. Nutr J. 2020;01–6
  24. Alghamdi & Alrasheed. Impact of an educational intervention using the 20/20/20 rule on Computer Vision Syndrome. African Vis Eye Heal. 2020;79(1)
  25. Zulkarnain BS, Budiyatin AS, Aryani T, Loebis R. The Effect of 20-20-20 Rule Dissemination and Artificial Tears Administration in High School Students Diagnosed with Computer Vision Syndrome. J Pengabdi Kpd Masy (Indonesian J Community Engag). 2021;7(1):24
  26. Sánchez-Brau M, Domenech-Amigot B, Brocal-Fernández F, Quesada-Rico JA, Seguí-Crespo M. Prevalence of Computer Vision Syndrome and Its Relationship with Ergonomic and Individual Factors in Presbyopic VDT Workers Using Progressive Addition Lenses. Int J Environ Res Public Health. 2020;17(3):1–18
  27. Ranasinghe P, Wathurapatha WS, Perera YS, Lamabadusuriya DA, Kulatunga S, Jayawardana N, et al. Computer vision syndrome among computer office workers in a developing country: An evaluation of prevalence and risk factors. BMC Res Notes. 2016;9(1):1–9
  28. Sheppard AL, Wolffsohn JS. Digital eye strain: Prevalence, measurement and amelioration. BMJ Open Ophthalmol. 2018;3(1)

Last update:

  1. Correlation Between Sleep Duration and Visual Acuity: A Single Center Study

    Huda Fajar Arianto, Irma Andriani Pasaribu, Indira Retno Artati. Vision Science and Eye Health Journal, 3 (1), 2023. doi: 10.20473/vsehj.v3i1.2023.1-7

Last update: 2025-09-08 16:59:12

No citation recorded.